Data Analyst

PAE is a leading provider of enduring support for the essential missions of the U.S. government, its allied partners and international organizations. With over 60 years of experience, PAE supports the execution of complex and critical missions by providing global logistics and stability operations, technical services and national security solutions to customers around the world. PAE has a workforce of approximately 15,000 people in over 60 countries on all seven continents and is headquartered

* Implement best practices related to ediscovery and data workflow. * Provide hands-on file manipulation, loading, and conversion services. * Create and modify files for upload, typically into COTS products, and performs individual file conversion in support of electronic file processing. * Develops, evaluates and modifies methodologies and procedures for manipulating files for use with COTS products and litigation support applications. * Performs quality assurance of all EFP services. * Responsible for ensuring that incoming productions are made pursuant to the applicable ESI specifications and when deficiencies are found, provides EFP Manager with detailed notice of deficiencies. * Recommends process improvement to ensure high quality, timely and cost-effective methods are utilized

* Must have an active Top Secret clearance and eligible for SCI * At least three (3) years’ experience performing roles including but not limited to electronic files processing (EFP), image and data file conversion, data culling using review tools, quality assurance, database loads and retrieval, and forensic analysis. * Knowledge of Government’s IT environment, including office automation networks, PC and server based applications preferred. * Working knowledge of personal computers, including Windows 7, document review software, and encryption methods. **Preferred Qualifications:** * Experience with Venio, Relativity, MS Office Suite, and West LiveNote valued. * Undergraduate degree preferred-preferably in computer science or related field.